Gabor Lugosi
17 papers · 2002–2023 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (34) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Keyword Pioneer
🌟
Keyword Trendsetter Combo
(3)
📈
Trend Setter
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
💎
Century Club · Bronze
🗃️
Keyword Collector
(87)
Venues
Top co-authors
Research topics
Machine Learning
(16)
Optimization & Theory
(13)
Mathematics & Optimization
(9)
Optimization
(8)
Core Methods
(6)
Artificial Intelligence
(5)
Learning Types
(5)
Core AI
(2)
Learning Paradigms
(2)
Mathematics
(2)
Computer Science
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Foundations
(1)
Methods
(1)
Keywords
regret bound
(5)
multi-armed bandit
(4)
online algorithm
(3)
combinatorial optimization
(3)
online learning
(2)
generalization bound
(2)
covariance matrix
(1)
model selection
(1)
stochastic optimization
(1)
graph structure
(1)
empirical risk minimization
(1)
exploration-exploitation tradeoff
(1)
supervised learning
(1)
random walk
(1)
adversarial learning
(1)
gradient descent
(1)
oracle inequality
(1)
k-means clustering
(1)
algorithmic stability
(1)
vector quantization
(1)
Papers
Bandit problems with fidelity rewards
JMLR 2023
Generalization Bounds via Convex Analysis
COLT 2022
Learning partial correlation graphs and graphical models by covariance queries
JMLR 2021
Online Influence Maximization with Local Observations
ALT 2019
Algorithmic Stability and Hypothesis Complexity
ICML 2017
An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits
COLT 2017
Boltzmann Exploration Done Right
NeurIPS 2017
Exceptional Rotations of Random Graphs: A VC Theory
JMLR 2015
Density-preserving quantization with application to graph downsampling
COLT 2014
Prediction by random-walk perturbation
COLT 2013
Mirror Descent Meets Fixed Share (and feels no regret)
NeurIPS 2012
Minimax Policies for Combinatorial Prediction Games
COLT 2011
On-Line Sequential Bin Packing
JMLR 2010
Consistency of Random Forests and Other Averaging Classifiers
JMLR 2008
The On-Line Shortest Path Problem Under Partial Monitoring
JMLR 2007
On the Rate of Convergence of Regularized Boosting Classifiers
JMLR 2003
Data-dependent margin-based generalization bounds for classification
JMLR 2002